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No Experience Computer Science Jobs in Exton, PA

Graduate degree in Data Science, Statistics, Machine Learning, Computer Science, Analytics, or a related field. * Experience in applying Generative AI, large language models (LLMs), retrieval ...

Lead Data Scientist

Chadds Ford, PA ยท On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics * 8 - 10 years experience in building sophisticated models using machine learning, segmentation ...

S. in Biology, Chemistry, Computer Science, Engineering, or a related field is requited. An ... Hands on experience with LC-MS and associated sample preparation.

Candidates should have a a Security+/GSEC/SSCP certification and an Associate's Degree in Computer Science/IT/Engineering or 3 years of IT work experience demonstrating experience with providing ...

Candidates should have a a Security+/GSEC/SSCP certification and an Associate's Degree in Computer Science/IT/Engineering or 3 years of IT work experience demonstrating experience with providing ...

S. or Ph.D. in Computer Science, Mathematics, Data Science, Business Analytics, or related field, and experience teaching at the college/university level. Supplemental Information To apply ...

Bachelor's degree in engineering (aerospace, mechanical, electrical), physics, mathematics, computer science, data science, image science or similar technical discipline with 0-2 years of experience.

Data Scientist

Philadelphia, PA ยท On-site

$103K - $173K/yr

... Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. * Extensive Python programming skills and experience building production-quality data science solutions.

Data Scientist

Philadelphia, PA ยท On-site

$103K - $173K/yr

... Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. * Extensive Python programming skills and experience building production-quality data science solutions.

Showing results 41-60

No Experience Computer Science information

See Exton, PA salary details

$54.5K

$80.2K

$94.6K

How much do no experience computer science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for no experience computer science in Exton, PA is $80,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $90,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed for an entry-level computer science position with no prior experience?

To thrive in an entry-level computer science role, a foundational understanding of programming concepts, problem-solving skills, and a relevant degree or coursework are generally required. Familiarity with common programming languages (such as Python or Java), basic version control systems like Git, and exposure to software development tools is typical. Eagerness to learn, attention to detail, and strong communication skills help new professionals adapt quickly and collaborate within teams. These skills and qualities enable newcomers to contribute effectively, grow technically, and integrate smoothly into dynamic tech environments.

What are computer science jobs that require no experience?

Even with no experience, you can find entry-level computer jobs in fields like production technician or systems engineer. You may help produce hardware or software, develop processes to improve existing products, provide technical support, evaluate programming needs, or otherwise provide IT services for your employer. This is a broad category, so you may need to narrow your search to find jobs that match your education background. The daily responsibilities of a computer job vary by position and can include tasks like programming new software, debugging existing code, manufacturing specialized parts, or testing hardware to ensure it meets performance specifications.

What is the easiest job to get in computer science?

Entry-level roles such as technical support specialist or help desk technician are among the easiest in computer science to obtain, often requiring basic knowledge of computer hardware, software, and troubleshooting skills. These positions typically do not require advanced degrees and may offer on-the-job training, making them accessible for beginners.

What is the difference between No Experience Computer Science vs Software Developer?

AspectNo Experience Computer ScienceSoftware Developer
Required CredentialsNone or basic certificationsBachelor's degree in CS or related field
Work EnvironmentEntry-level, often in tech support or internshipsDevelopment teams, office setting, collaborative
Industry UsageEntry roles, internships, apprenticeshipsFull-time development roles in tech companies
Search & Comparison IntentUnderstanding entry-level optionsCareer progression, skill requirements

In summary, No Experience Computer Science roles are ideal for beginners with minimal or no prior experience, often focusing on foundational skills or internships. Software Developer positions typically require some formal education and offer more advanced responsibilities, aiming for career growth in software engineering.

How to start a career in computer science with no experience?

Starting a career in computer science with no experience involves learning foundational skills through online courses, coding bootcamps, or self-study in programming languages like Python or Java. Gaining practical experience by working on personal projects, contributing to open-source, and obtaining certifications such as CompTIA or Cisco can improve employability; internships or entry-level positions also provide valuable on-the-job training.

What types of entry-level projects or tasks can I expect in a computer science role with no prior experience?

As an entry-level candidate in computer science without prior experience, you can expect to start with tasks such as debugging simple code, maintaining documentation, writing unit tests, or assisting with basic software development under supervision. You may also work on small features, help with quality assurance, or support more senior developers with routine operational tasks. These responsibilities are designed to help you build technical skills, become familiar with the team's workflow, and gradually take on more complex assignments as you learn.
What are the most commonly searched types of Computer Science jobs in Exton, PA? The most popular types of Computer Science jobs in Exton, PA are:
What cities near Exton, PA are hiring for No Experience Computer Science jobs? Cities near Exton, PA with the most No Experience Computer Science job openings:
Infographic showing various No Experience Computer Science job openings in Exton, PA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 1% Temporary, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $80,212 per year, or $38.6 per hour.

Data Scientist, Specialist

Vangard, Inc.

Malvern, PA โ€ข On-site

Full-time

Re-posted 14 days ago


Job description

As a Data Scientist, you will join a highly collaborative team of data scientist, AI engineer, and analytics professionals focused on transforming how HR and IT Corporate Systems use data, analytics, and artificial intelligence to drive business outcomes. You will develop innovative AI and machine learning solutions that enable smarter decision making, improve workforce experiences, and unlock insights at scale.

In this role, you will work at the intersection of advanced analytics, business strategy, and emerging AI technologies. You will partner closely with HR, Corporate Systems, and technology stakeholders to identify opportunities, solve complex business challenges, and deliver impactful solutions that create measurable value. From predictive modeling and generative AI applications to workforce analytics and intelligent decision support tools, you will help shape the future of AI-driven capabilities across the enterprise.

You will have the opportunity to:

  • Develop and deploy machine learning, predictive analytics, and AI solutions to address business challenges.
  • Build scalable analytics products and AI-enabled tools that improve decision making and operational efficiency.
  • Partner with business stakeholders to identify opportunities, prioritize initiatives, and translate business needs into analytical solutions.
  • Leverage modern cloud, data science, and AI technologies to deliver innovative products and services.
  • Communicate analytical insights and recommendations to diverse audiences, including senior leaders and non-technical stakeholders.
  • Collaborate with data scientists, engineers, analysts, and product partners to bring solutions from concept to production.
  • Contribute to the adoption of emerging AI capabilities, including generative AI, agentic workflows, and advanced analytics applications.
  • Help establish best practices for responsible AI, model governance, and scalable analytics delivery.

You will be part of a dynamic Analytics and AI team that drives innovation across HR and Corporate Services. Our team combines advanced analytics, data science, machine learning, and AI product development to solve strategic business challenges and improve employee and business outcomes.

We are focused on delivering practical, impactful solutions that move beyond analysis to create enterprise capabilities. Whether developing AI-powered assistants, workforce analytics products, predictive models, or decision intelligence solutions, our team plays a critical role in accelerating Vanguard's adoption of data-driven and AI-enabled decision making.

Strong communication and collaboration skills are essential as you will work across business, technology, analytics, and product teams. Success in this role requires intellectual curiosity, strong problem-solving abilities, and the ability to balance multiple priorities in a fast-paced environment.

Required Qualifications

  • Undergraduate degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Analytics, or a related quantitative field, or an equivalent combination of training and experience.
  • 2+ years of experience applying data science, machine learning, or advanced analytics in a business environment.
  • Experience developing and deploying predictive models, machine learning solutions, or AI-driven applications.
  • Strong proficiency in Python and modern analytical tools and frameworks.
  • Experience working with large and complex datasets to generate actionable insights.
  • Ability to translate business problems into analytical approaches and communicate results effectively to technical and non-technical audiences.
  • Demonstrated problem-solving skills and a passion for leveraging data and AI to drive business value.

Preferred Qualifications

  • Graduate degree in Data Science, Statistics, Machine Learning, Computer Science, Analytics, or a related field.
  • Experience in applying Generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, or other emerging AI technologies.
  • Experience with cloud-based analytics and AI platforms.
  • Experience developing analytics products, decision support tools, or enterprise AI solutions.
  • Knowledge of workforce, HR, talent, organizational, or people analytics is a plus.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.